Data Quality Consultant

Job Purpose

Key Accountabilities

• Design, implement, and maintain enterprise data quality controls, standards, and monitoring processes.
• Perform data profiling, validation, quality assessments, and root cause analysis to identify data quality issues.
• Develop and implement data quality rules, scorecards, KPIs, and monitoring dashboards.
• Support data cleansing, remediation, and issue resolution activities across business and technology domains.
• Conduct data quality assessments and provide recommendations for data improvement initiatives.
• Collaborate with business users, data owners, data stewards, and technical teams to resolve data quality issues.
• Support the implementation and operation of Data Governance and Data Quality frameworks.
• Configure and administer Data Quality tools and platforms to support enterprise data management requirements.
• Monitor data quality metrics and ensure compliance with established quality standards and policies.
• Produce reports, dashboards, and analyses related to data quality performance and compliance.
• Support metadata management, data lineage, and data governance initiatives where required.
• Contribute to continuous improvement initiatives to enhance enterprise data quality maturity and governance practices.

Minimum Qualifications

• Bachelor's Degree in Computer Science, Information Systems, Data Management, Information Technology, Engineering, or a related discipline.
• CDMP Data Quality (DQ) Certification.
• Certification in the proposed Data Quality Governance Component/Platform.
• Additional certifications in Data Governance, Data Management, or Analytics.

Minimum Experience

• 5+ years of experience in Data Quality Management, Data Governance, or Enterprise Data Management.
• Hands-on experience implementing and supporting enterprise Data Quality programs and initiatives.
• Proven experience working with Data Quality tools and governance platforms.
• Experience delivering data quality assessments, profiling, validation, monitoring, and remediation activities.

Job-Specific Skills

• Data Quality Management.
• Data Profiling and Data Assessment.
• Data Validation and Data Verification.
• Data Quality Monitoring and Scorecards.
• Data Cleansing and Remediation.
• Data Quality Rules Development and Implementation.
• Data Governance Frameworks and Standards.
• Data Quality Metrics, KPIs, and Reporting.
• Master Data and Reference Data Quality Management.
• Data Quality Tool Configuration, Development, and Administration.
• Metadata Management and Data Lineage Awareness.
• Root Cause Analysis and Issue Resolution.